|An Application of Second Generation Wavelets for Image Denoising using Dual Tree Complex Wavelet Transform|
The lifting scheme of the discrete wavelet transform(DWT) is now quite well established as an efficient techniquefor image denoising. The lifting scheme factorization ofbiorthogonal filter banks is carried out with a linear-adaptive,delay free and faster decomposition arithmetic. This adaptivefactorization is aimed to achieve a well transparent, moregeneralized, complexity free fast decomposition process inaddition to preserve the features that an ordinary waveletdecomposition process offers...
Keywords: Lifting scheme; Dual Tree Complex Wavelet transform (DT CWT); Denoising; Computational complexity; coding gain and PSNR
|6.451 Principles of Digital Communication II, Spring 2005 - OCW|
Instructor: Prof. David ForneyThis course is the second of a two-term sequence with 6.450. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding...
Keywords: coding techniques; the Shannon limit of additive white Gaussian noise channels; performance analysis; Small signal constellations; performance analysis; coding gain; Hard-decision and soft-decision decoding; Introduction to binary linear block codes; Reed-Muller codes; finite fields; Reed-Solomon and BCH codes; binary linear convolutional codes; Viterbi and BCJR algorithms; Trellis representations of binary linear block codes; trellis-based ML decoding; Codes on graphs; sum-product; max-product; decoding algorithms; Turbo codes; LDPC codes and RA codes; Coding for the bandwidth-limited regime; Lattice codes; Trellis-coded modulation; Multilevel coding; Shaping